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RT

2026 Full-time - Software Engineer 1 - Onsite (CA)

RTX
United Statesfull_timeVerifiedPosted 16 Jan 2026
💰 $119,700/yr($62,900/yr$119,700/yr)

About the role

Date Posted:

2026-01-16

Country:

United States of America

Location:

US-CA-FULLERTON-675 ~ 1801 Hughes Dr ~ BLDG 675

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Security Clearance:

None/Not Required

About Us:

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression.  We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat.  Our team solves tough, meaningful problems that create a safer, more secure world.  

What You Will Do

Design, implement, and maintain software applications using Python, SQL, JavaScript, and CSS.

Develop and integrate back-end data services and RESTful APIs to support real-time and historical data analytics.

Contribute to data pipeline development, ML Ops, and Data Ops workflows that improve automation, traceability, and scalability of deployed solutions.

Support development of intuitive front-end user interfaces for user operations and data visualization.

Participate in code reviews, configuration management, and automated testing as part of a continuous integration/continuous delivery (CI/CD) environment.

Collaborate with systems, test, and data engineers to ensure software components align with overall system objectives.

Author and maintain technical documentation and contribute to design reviews.

What You Will Learn: 

How to develop software for distributed mission systems, gaining exposure to complex data integration and visualization pipelines.

Modern DevSecOps, CI/CD, and containerization practices used across enterprise and mission environments.

Techniques for building and maintaining data engineering and machine learning pipelines, including MLOps and DataOps workflows.

Best practices in secure coding, automated testing, and software quality assurance for safety- and mission-critical applications.

How multidisciplinary teams integrate software, systems, and test engineering to deliver high-reliability solutions.

How to operate in an Agile environment, collaborating across disciplines while meeting technical and programmatic objectives.

Professional skills in documentation, technical communication, and presentation within a defense-grade engineering culture.

Qualifications You Must Have:

Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Data Science, or a related STEM field.

This position requires 12 months or less of relevant professional work experience (excluding Internships).

Proficiency in Python for application development, data processing, or automation.

Foundational knowledge of SQL and relational database design principles.

Familiarity with JavaScript, HTML, and CSS for UI development.

Experience working in Linux or cross-platform development environments.

Understanding of software version control tools (e.g., Git).

The ability to obtain and maintain a U.S. government issued clearance.  U.S. citizenship is required as only U.S. citizens are eligible for a security clearance.

Qualifications We Prefer:

Experience with ML Ops or Data Ops frameworks (e.g., Airflow, MLflow, Kubeflow, or similar).

Familiarity with web application architecture and tools (e.g., REST, GraphQL, PostgreSQL MongoDB, Redis).

Exposure to real-time systems, distributed architectures, or mission-support software (e.g., visualization dashboards, situational awareness, telemetry).

Internship or project experience involving data pipelines, AI/ML integration, or cross-domain systems.

Understanding of cloud-based services (AWS, Azure, or GCP).

Knowledge of containerization and deployment technologies (e.g., Docker, Kubernetes).

Experience with test automation, CI/CD tools (e.g., Jenkins, GitLab CI), or Infrastructure as Code (IaC) tools.

Excellent communication, documentation, and problem-solving skills.

What We Offer:

Whether you’re just starting out on your career journey or are an experienced professional, we offer a robust total rewards package with compensation; healthcare, wellness, retirement and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care.

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Company

RTX

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